Author identification attempts to reveal the authors behind texts. It is an emerging area of research associated with applications in literary research, cyber-security, forensics, and social media analysis.
For Business Users
Frequently used in education, legal, and forensics, author identification enables you to distinguish the most likely author of messages, articles, and other forms of communication for the purposes of attribution, plagiarism detection, or to uncover an elusive ghost writer.
For Data Scientists
Traditional approaches to authorship identification typically focus on patterns of individual words (i.e., unigrams) and phrases (e.g., bigrams, trigrams, etc.) Words can also be classified along hundreds of psychological dimensions, including cohesion and time orientation.
Our easy-to-use API and simple documentation makes it easy to integrate Author Identification into your technology.